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gliner

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0.2.14 gliner-0.2.14-py3-none-any.whl
0.2.13 gliner-0.2.13-py3-none-any.whl

Wheel Details

Project: gliner
Version: 0.2.13
Filename: gliner-0.2.13-py3-none-any.whl
Download: [link]
Size: 47697
MD5: aae86f543c7630c258dbcc84baeac2b8
SHA256: a8798aef78b8a7322dc4f785c15d58c526f86698ec95feb892b500b5be507437
Uploaded: 2024-09-21 04:16:48 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: gliner
Version: 0.2.13
Summary: Generalist model for NER (Extract any entity types from texts)
Author: Urchade Zaratiana, Nadi Tomeh, Pierre Holat, Thierry Charnois
Maintainer: Urchade Zaratiana
Project-Url: Homepage, https://github.com/urchade/GLiNER
License: Apache-2.0
Keywords: named-entity-recognition,ner,data-science,natural-language-processing,artificial-intelligence,nlp,machine-learning,transformers
Requires-Python: >=3.8
Requires-Dist: torch (>=2.0.0)
Requires-Dist: transformers (>=4.38.2)
Requires-Dist: huggingface-hub (>=0.21.4)
Requires-Dist: tqdm
Requires-Dist: onnxruntime
Requires-Dist: sentencepiece
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 6563 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.1.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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gliner/model.py sha256=ZXyxJJNghDC6w6xLTiUYYvcX059t-HgHrnVHaxsAgcs 35598
gliner/utils.py sha256=Kqdx43IE8uSdAV-clJLfua1ZA2syAwGDdD062bKSkQ4 697
gliner/data_processing/__init__.py sha256=zlxL5XMNpgku8K-OFJvJc4IxVL1lAd23J5H__W1eNIc 208
gliner/data_processing/collator.py sha256=4iZMRZeaYJTRJHVeAYKPpWkaIGbH7gPKBcbbffZjZ4I 5742
gliner/data_processing/dataset.py sha256=kWue_XVU_RAxENTlzOzsJalU8AKWxHo0xu8QwvFBS48 3045
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gliner-0.2.13.dist-info/RECORD — —

top_level.txt

gliner